A new approach to map cropland irrigation distribution using time series remote sensing and ancillary data in a heterogeneous semi-arid and arid region: a case study in Heihe watershed
Dr. Yaoliang Chen, PhD1,2, Dengsheng Lu2, Huang Jingfeng3, Lifeng Luo4, Dr. Yadu Pokhrel5 and Kalyanmoy Deb6, (1)Zhejiang University, Department of Land Management, Hangzhou, China, (2)Michigan State University, Center for Global Change & Earth Observations, East Lansing, MI, United States, (3)Zhejiang University, Institute of Applied Remote Sensing & Information Technology, Hangzhou, China, (4)Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, (5)Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States, (6)Michigan State University, Department of Electrical & Computer Engineering, East Lansing, MI, United States
